AI FOR BUSINESS & LOCAL GOVERNMENT

Your knowledge.
Your boundaries.
AI that works.

Turn the information your organization already trusts into focused AI workflows. Clear sources. Controlled access. A practical place to start.

Over a resident's shoulder, a phone shows a fictional Cedar Vale County SMS exchange about replacing a lost vehicle registration and a follow-up about Saturday office hours.
Everyday questions. Answers grounded in approved information.Illustrative demo · fictional county and service details
Read the example conversation

Resident: I lost my car registration. How do I get a replacement?

County: Request a duplicate online or at the tag office. You need your plate number and photo ID. Fee: $5.
cedarvale.example/tags

Resident: Are you open Saturday?

County: No. The tag office is open Mon–Fri, 8 a.m.–4:30 p.m.

APPROVED INFORMATIONSOURCE-CITED ANSWERSDEFINED PERMISSIONSHUMAN OVERSIGHT

01 / PRACTICAL APPLICATIONS

Start with a question
your team asks every day.

You don't need to automate everything. Begin with a useful workflow and a clearly defined set of information.

01

Find the right procedure.

Help staff navigate approved SOPs, handbooks, and policies with answers that point back to the source.

OPERATIONS & STAFF SUPPORT
02

Put records to work.

Explore meeting minutes, agenda packets, and project documents to find decisions and their supporting records.

RECORDS & RESEARCH
03

Make information easier to reach.

Give residents a more natural way to ask routine local government questions using approved public information.

RESIDENT COMMUNICATION

02 / THE MERCURY FAMILY

Two ways to bring
AI into everyday work.

Different audiences. Different data boundaries. The same focus on useful answers and responsible operation.

FOR YOUR ORGANIZATION

Private AI
workflows.

Open to pilot discussions

An AI workspace for the internal knowledge
your team is approved to use.

Mercury Launchpad provides a workspace for focused workflows over approved documents, files, and data sources. The private platform is designed around customer-specific runtime boundaries and local model execution.

  • Mercury LaunchpadA workspace for approved AI workflows and document questions.
  • Mercury HarnessControls for context, tools, permissions, and action approvals.
  • Mercury Context FirewallContext inspection designed to help detect unsafe instructions before they reach the model.
Explore the security approach
FOR LOCAL GOVERNMENT

Mercury
Civic AI.

Open to pilot discussions

A clearer path from resident questions
to government information.

Mercury Civic AI is being developed to help residents ask routine questions in everyday language and receive answers grounded in approved government sources. The initial pilot focuses on inbound SMS.

  • Official informationAnswers tied to reviewed public sources.
  • Natural-language questionsA focus on everyday wording and English and Spanish support.
  • Staff governanceSource review and publishing controls through Mercury Civic Console.

Civic uses a separate hosted-model architecture. Pilot scope and deployment requirements are agreed with each organization.

03 / BUILT WITH BOUNDARIES

Useful AI begins
with clear controls.

We start with the sources, access rules, and oversight a workflow needs. Those boundaries shape how the system works.

01

Only the knowledge you approve.

Define the documents and data sources a workflow can use. Keep answers tied to that approved scope.

02

Sources your team can check.

Design document-based workflows around citations so staff can review the evidence behind an answer.

03

Actions with oversight.

Start with read-only workflows. Agree on permissions and approval requirements before adding actions.

04

Privacy by design.

The private platform is designed for local model execution within customer runtime boundaries. Mercury does not train language models on customer data.

04 / A PRACTICAL FIRST STEP

One workflow.
A meaningful starting point.

Both the private platform and Mercury Civic AI are open to pilot discussions. A focused pilot starts with a clear use case and a shared definition of success.

  1. 01

    Choose the question.

    Identify a recurring task or information need worth improving.

  2. 02

    Define the sources.

    Choose the approved information, users, and access boundaries.

  3. 03

    Evaluate together.

    Test known questions, review source accuracy, and decide what comes next.

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